“光顾赚钱不搞研究”，OpenAI元老级高管出现离职潮，Mark Chen紧急回应

Core Viewpoint - OpenAI is experiencing a significant executive turnover, raising internal alarms due to a strategic shift towards prioritizing large language models (LLMs) over foundational research, leading to dissatisfaction among researchers and high-profile departures [1][4][18]. Group 1: Executive Departures - Recent departures include key figures such as Jerry Tworek, Andrea Vallone, and Tom Cunningham, all of whom have expressed concerns about OpenAI's shift away from objective research towards more commercially beneficial projects [2][8][18]. - The reasons for these departures highlight a common theme: a perceived marginalization of original research in favor of LLM development, which has led to frustration among employees seeking to pursue innovative projects [15][18][20]. Group 2: Internal Dynamics - OpenAI's leadership, particularly Mark Chen, has publicly refuted claims that foundational research is being neglected, asserting that the company remains committed to long-term research initiatives while also focusing on product development [6][25][28]. - The internal conflict appears to stem from differing priorities between research-focused executives and a leadership team more inclined towards market-driven strategies, creating a divide within the organization [28][29]. Group 3: Resource Allocation and Challenges - OpenAI is facing significant resource constraints, particularly in computational power, which has led to a strategic focus on ChatGPT as the core business, sidelining other projects deemed less immediately profitable [30][31][32]. - The company has acknowledged the "Scaling Law," indicating that increased computational investment is essential for revenue growth, which has resulted in a concentration of resources on LLMs at the expense of other research areas [35][36][37]. Group 4: Competitive Landscape - OpenAI is under pressure from competitors like Google, which is advancing its own models, and internal unrest is compounded by the need for more computational resources to maintain its competitive edge [41][42]. - The company is reportedly seeking a $100 billion partnership with NVIDIA to bolster its computational capabilities, although there are concerns about the viability of this partnership amid ongoing strategic challenges [38][39].